Personally, I am interested in applying Blockchain, Cryptography, Post-quantum, Machine learning, Quantum Machine Learning, IIoT, and data mining techniques to emerging problems related to large-scale decentralized cyber-physical systems and critical infrastructures as well as energy, mining, health care and other domains of major economic and social impact. I am interested in the theory, algorithms, modelling and systems in the intersection of data science concepts and computation.
- My first research aim is understanding the theory, algorithms, modeling and practical aspects, and produce entire ML pipelines improving the various components of large systems and produce high quality in the intersection of data science concepts and computation.
- The second research area is the Blockchain technology via the lens of smart contract and consensus protocols. In this area, I study the design and development of different platforms such as Ethereum and Hyperledger. I also design smart contract conceptual model for different industries. Finally, I will examine post quantum security mechanisms for the blockchain area.
- The third research area is Deep learning networks (CNN, RNN, LSTM) design for image classification and object detection.
- The fourth research area is Generative AI, NLP(NER) and Large Language Model(LLM)
- The fifth research area is the Metaverse in different vertical industry sectors especially the shift of the smart cities (real estate) to Metacities.
I started new projects, on graph theory mining, on the generative adversarial networks (GANs), on Generative AI with Diffusion Models, on MLOps pipelines framework and the optimization of dynamic systems for Machine Learning.